Stability analysis of time-varying delay neural network for convex quadratic programming with equality constraints and inequality constraints

<p style='text-indent:20px;'>This paper presented a class of neural networks with time-varying delays to solve quadratic programming problems. Compared previous papers, the proposed in this replaced constant time <inline-formula><tex-math id="M1">\begin{document}$ \tau $\end{document}</tex-math></inline-formula> variable id="M2">\begin{document}$ \tau(t) and had more concise structure. There was an improvement method proving existence uniqueness solutions paper. Further, gave conditions be satisfied for global exponential stability networks. Through numerical examples, verified that were accurate efficient solving problems.</p>